A Novel Multiobjective Game IDEA Cross-Efficiency Method Based on Boolean Possibility Degree for Ranking Biomass Materials With Interval Data
نویسندگان
چکیده
The concept of processing biomass materials into charcoal briquettes is a viable solution for every developing nation’s energy crisis problem. However, the important properties each material must first be considered, in order to find suitable briquettes. Sometimes these qualities are measured with imprecise values, making it exceedingly challenging rank materials’ decision-making units (DMUs). This problem one interval data envelopment analysis (IDEA) ranking problems that make difficult calculate and all DMUs. In this paper, concepts Game IDEA cross-efficiency method Boolean possibility degree were utilized solve problems. Unlike existing models, new multi-objective (MO-G-IDEA-CE) was used obtain (GICE) scores DMU simultaneously. After that, transform GICE crisp values Three numerical examples including simple example, China’s primary schools seven provided demonstrate validate effectiveness proposed model. For case study materials, after Spearman correlation test, coefficients ( rs ) Wang’s Wu xmlns:xlink="http://www.w3.org/1999/xlink">et al .’s calculated as = 1.000 0.964 respectively. addition, worth noting MO-G-IDEA-CE has very high other methods three examples.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2022
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2022.3205728